JTIM : Jurnal Teknologi Informasi dan Multimedia
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Penilaian Standar Mutu Pada Aplikasi Parkir Universitas Muhammadiyah Gresik Dengan ISO 9241-11 Dan Fishbone Analisis
Get PDFThe parking application service at the University of Muhammadiyah Gresik is an update from the previous system. Of course, this application requires a system that is practical, efficient, and also has good data storage security. One of the references that can be used that these things have been fulfilled in this application is an analysis using ISO 9241-11. The purpose of this study was to analyze the application of UMG parking for the feasibility of ISO 9241-11. Analytical research methods used include determining clauses, checklists, Likert scales, maturity levels, and fishbone diagrams. Clause, checklist use for getting assessment based on the park system, then from that result will be used to get the qualification of this system with liket scale in each clause of this standard, and assessment of all clause with likert scale , the result of level quality assurance of this system will be found. Next the using fishbone diagram can analyze to get the root cause of clause dan quality assurance in ISO 9241-11. Because that , with this study we can know the qualification and the root cause of park system. And the analysis using that tool, this system still not suitable to use ISO 9241-11. The parent of root cause is in efficiency clause in organitation like less costing and planning
Pengukuran Karakteristik Lahan Berbasis Internet of Things
No full textClimate change is one of the factors that affect crop production, so it is necessary to implement strategies and technologies to maintain the availability of cereal crops in Indonesia. It is necessary to prepare the land for the early planting process and monitoring plant growth in order to produce maximum crops. Utilization of the Internet of Things (IoT) can be used to monitor soil temperature and pH in real time, so hope for the long term it can increase crop production. The purpose of this research is to make a prototype design system with Internet of Things (IoT) technology to obtain temperature and pH data. This tool will test the functional accuracy. This research for measuring the characteristics of land based on IOT uses a prototype method consisting of Communication, Quick Plan, Modelling Quick Design, Construction of prototype, and Development Delivery & Feedback. Assembling the Wemos microcontroller, D1 R1, Breadboard, DS18B20 temperature sensor, 4700 Ohm Resistor, soil pH sensor, and 16x2 I2C LCD and connected using jumper cables with application control will be implemented into Wemos D1 R1 using the C++ programming language using Arduino IDE. Testing of the tool is carried out to ensure that the sensor is functionally able to read the temperature and pH of the soil correctly. Testing used black box method and was implemented in 5 land axis points at Politeknik Negeri Jember. The results used tools and litmus paper showed the same value. The conclusion and benefit of detecting land characteristics using the Wemos microcontroller showed more detailed measurement results with numbers behind the comma and a tool accuration rate of 100%
Penerapan Algoritma Fuzzy Tahani Untuk Rekomendasi Penerima Beasiswa Peningkatan Prestasi Akademik
Get PDFRelational database systems that exist until now are only able to handle data that is definite (crisp), deterministic and precise. In fact, in real conditions, vague data is often needed for the decision-making process. For decision making involving fuzzy variables based on crisp data in the database, you can use a query on the database system with the concept of fuzzification on the data. In every educational institution, especially universities, there are several types of scholarships given to students. To get a scholarship, students must meet all the requirements that have been set. This study discusses the application of the Fuzzy Tahani algorithm for the recommendation of Academic Achievement Improvement (PPA) scholarship recipients at Bumigora University, Mataram. Data for PPA scholarship recipients was used in 2014 with details of the number of registrants 64 people and recipients (quota) of 15 people. Every year the number of applicants for this scholarship is increasing, while the processing and selection process is still done semi-manually so that the expected results are less than optimal, especially in terms of transparency and distribution. There are several variables that must be calculated by PPA scholarship recipients, namely the value of the Grade Point Average (GPA), Parents\u27 Income, Number of Dependent Parents and Number of Diplomas. From the results of trials conducted in this study, it can be seen that the system\u27s accuracy level reaches a value of 73.3%. This value is obtained by comparing the results of the semi-manual selection of PPA scholarship recipients with the results of the PPA scholarship selection using a system that uses the Fuzzy Tahani Algorithm
Penerapan Algoritma Decision Tree C4.5 Untuk Memprediksi Kelayakan Calon Pendonor Melakukan Donor Darah Dengan Klasifikasi Data Mining
No full textBased on data from UDD PMI Kampar Regency, many donors must have provisions to become blood donors. So far, blood donor selection has been made manually to determine whether potential donors can donate blood or not. Meanwhile, today\u27s information system has not yet explored further information from the large amount of data stored as knowledge. There is a need for organizational consolidation and continuous evaluation of the performance that has been carried out by PMI in dealing with social and humanitarian problems. By making a data mining application with a classification method using the Decision Tree C4.5 Algorithm in predicting someone worthy or not to donate blood, it can be calculated from the results of variables that are continuous or critical, such as variables of age, body weight, hemoglobin (HB) levels, blood pressure. (systolic and diastolic), The data that enters the information system is calculated using the Decision Tree C4.5 Algorithm formula, which results in detailed results and can produce valid and more accurate values. With the data mining application using the Decision Tree Algorithm C4.5 method, potential blood donors\u27 eligibility can be classified based on age, body weight, hemoglobin, and blood pressure. Hemoglobin with the highest gain value (0.861212618) is the variable that most determines blood donation success
Perancangan Media Video Company Profile “LPK Logika Internasional”
Get PDFTo improve service quality, a company must be able to design an informative and persuasive promotional media. LPK Logika Internasional is a company engaged in Japanese language training and courses in the city of Mataram. The problem with this company is a significant decrease in the number of students from year to year. Also, the geographic location that is less strategic makes the company\u27s popularity low so that it affects its existence. This study discusses designing a video company profile at LPK Logika Internasional as useful media information and company promotion. The research method used is the design method (Visual Communication Design), which starts from object/problem analysis, synthesis or data processing, and implementation. The results of this research are in the form of an informative and persuasive, informative and persuasive work of Video Company Profile of the LPK Logika International company. This work expected to be a solution to introduce and promote the company\u27s profile to the fullest
Penerapan Algoritma Naive Bayes Untuk Klasifikasi Penerima Bantuan Surat Keterangan Tidak Mampu
Get PDFRukun Warga 002 Kelurahan Meruya Selatan runs a government program, namely assistance for recipients of a certificate of being unable to meet the community\u27s needs and aims to improve the community\u27s welfare. Rukun Warga 002 has community services, namely death certificate services, making ID cards, disability certificates (SKTM), birth certificates, and many more. In carrying out assistance, most of the community complained that they did not get help, while some people were considered capable of getting this assistance. The researcher carried out data processing techniques with observation, literature study, and questionnaires based on this background. In contrast, the data processing used data mining to determine the incapable recipient\u27s proper or inappropriate status, namely by using the Naïve Bayes algorithm while using the Rapidminer application, aiming to test the dataset\u27s accuracy. In the dataset of incapacitated recipients used in this study, there are 35 records with eight attributes: name, occupation, age, status, income, vehicle, ownership, and roof of the building, while this research aims to predict and produce level values. Accuracy in providing assistance letters of incapacity to the people of 002 sub-district of Meruya Selatan using the naïve Bayes method. The trial results show that the system accuracy rate is 62.86%, a recall of 78.57%, and 52.38% precision
Implementasi Kombinasi Caesar Cipher dan Hill Cipher Menggunakan Modifikasi Sandi Morse Untuk Pengamanan Pesan Berbasis Teks
Get PDFThe security and confidentiality of a message or document sent to other people must be guaranteed its confidentiality and security, so that the message or document is not misused by parties who do not have an interest in the message. Security and confidentiality of messages or documents can be kept confidential and secure by using cryptography. data security and confidentiality issues are very important from an information. Because of the importance of this information, the person concerned will question whether the authenticity of the information is still maintained or whether the information has been hijacked. So in the process of securing data and information with cryptography, of course it requires a qualified algorithm to maintain the confidentiality of the information, so that the purpose of this research is how to maintain the confidentiality of information by converting information into codes known only to the sender and receiver by using cryptographic techniques and steganography. Then the process of securing the data or information the researcher uses a combination of Caesar Chiper and Hill Chiper which is modified into Morse code then the resulting CipherText results will be saved into a JPEG file using the LSB (Least Significant Bit) Steganography method. The process of storing messages or ciphertext into image files will make it difficult for irresponsible people or cryptoanalysts to solve messages sent in the form of images
Sistem Pendeteksi Kerusakan Buah Mangga Menggunakan Sensor Gas Dengan Metode DCS - LCA
No full textFruits, including mangoes, produce a wide variety of volatile organic compounds that give them their distinct aroma. Characteristics of fruit aroma is one of the important keys in determining consumer acceptance in the commercial fruit market based on individual preferences. So a possible way to determine the level of ripeness/damage is to feel the distinctive aroma presented by the fruit using a gas sensor. This study aims to build a system that can detect mango damage based on its aroma. The sensors used are TGS 2600, MQ3, MQ4, MQ2, and MQ8 which are connected to the Arduino Mega 2560. The learning model used is an ensemble learning model of Dynamic Classifier Selection (DCS) with Local Class Accuracy (LCA)/DCS-LCA. This algorithm combines Logistic Regression, Selection Tree, Support Vector Machine (SVM), Naïve Bayes, Random Forest, and Neural Networks. The model was then tested with a comparison of the amount of test data and training data of 70%:30%. The test results showed that the overall system Accuracy was 75% and the ability to detect mango fruit damage was 71%. The DCS-LCA classifier model outperforms each of its constituent base classifiers.  
Rekomendasi Paket Menu Angkringan Waru Tanjung Bias Dengan Algoritma Frequent Pattern Growth Berbasis Web
Get PDFCulinary business using carts selling various kinds of heavy food, light and drinks, is favored by many people to just fill their stomachs, gather with friends and even family. Culinary businesses or culinary destinations like this are known as Angkringan which are increasingly mushrooming in the millennial generation. Angkringan Waru, located in Tanjung Bias, is a gathering destination for all people to enjoy a relaxed atmosphere on the beach. Angkringan Waru provides 85 types of menus for its customers, the many menus often confuse customers in choosing snacks while enjoying the beachside atmosphere. Starting from these problems, data mining techniques are used with the Frequent Pattern Growth (Fp-Growth) algorithm to recommend items in producing a menu package consisting of 1 snack item and 1 drink item. The dataset used is transaction data from Angkringan Waru as many as 870 transactions, the resulting output is a menu package recommendation rule and implemented in a web for Angkringan Waru. The Fp-Growth Data Mining Application by providing a minimum support value of 20% and Confident 50% with a lift ratio > 1 produces 57 rules or menu package recommendations that will be offered to Angkringan Waru customers. The results of the application in the form of 57 menu package recommendations are then used as recommendations for Angkringan Waru customers, where these menus are the favorite menus of customers at Angkringan Waru
Purwarupa Aplikasi Peramalan Kebutuhan Persediaan Barang Dagang Berbasis Website dengan Semi Average Method
Get PDFThe Point of Sale application has now begun to be used by many trading entrepreneurs. Of course, this is because Point of Sale (POS) can record all trade transaction activities, such as recording sales and recording purchases of inventory items. However, the majority of POS applications are only limited to recording transactions and do not yet have the ability to assist traders in determining the need for merchandise. This study discusses how to build an application that can help traders predict the need for merchandise with one of the forecasting methods, namely the Semi Average Method. The application in this study was built with the waterfall method and is based on a website and utilizes sales reports from the POS application that has been used. Based on the website, users don\u27t have to bother installing this application because it can be accessed via a browser and anytime as long as it is connected to the internet. Testing the application in this study using the Blackbox Testing method shows that this application has 100% functionality working. It is hoped that the application from this research can later be used side by side with the existing POS application so there is no need to make changes to the POS application that is already in use